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Titlebook: Statistical Language and Speech Processing; First International Adrian-Horia Dediu,Carlos Martín-Vide,Bianca Truth Conference proceedings

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发表于 2025-3-21 19:59:07 | 显示全部楼层 |阅读模式
书目名称Statistical Language and Speech Processing
副标题First International
编辑Adrian-Horia Dediu,Carlos Martín-Vide,Bianca Truth
视频videohttp://file.papertrans.cn/877/876452/876452.mp4
概述State-of-the-art research.Fast-track conference proceedings.Unique visibility
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Statistical Language and Speech Processing; First International  Adrian-Horia Dediu,Carlos Martín-Vide,Bianca Truth Conference proceedings
描述This book constitutes the refereed proceedings of the First International Conference on Statistical Language and Speech Processing, SLSP 2013, held in Tarragona, Spain, in July 2013. The 24 full papers presented together with two invited talks were carefully reviewed and selected from 61 submissions. The papers cover a wide range of topics in the fields of computational language and speech processing and the statistical methods that are currently in use.
出版日期Conference proceedings 2013
关键词hidden Markov models; machine learning; sentiment analysis; similarity; statistical methods
版次1
doihttps://doi.org/10.1007/978-3-642-39593-2
isbn_softcover978-3-642-39592-5
isbn_ebook978-3-642-39593-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2013
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Predicting Part-of-Speech Tags and Morpho-Syntactic Relations Using Similarity-Based Techniquearkers which provide hints on the syntactic categories of the compound words. The technique is trained with a compound words database with more than 53,500 disyllabic words. Experimental results show the tagger with the technique outperforms its counterpart.
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Speech/Music Discrimination via Energy Density Analysision is an effective tool supporting the decision making system. We compare our feature with Percentage of Low Energy Frames (LEF), Modified Low Energy Ratio (MLER) and examine their efficiency for two separate speech/music corpora.
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Unsupervised Segmentation for Different Types of Morphological Processes Using Multiple Sequence Aliin bioinformatics, the method extracts both concatenative and non-concatenative (e.g. introflection and circumfixation) morphological patterns and can thus handle languages of different morphological types as well as non-dominant morphological processes within languages of a particular predominant morphological type.
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Cross-Lingual Random Indexing for Information Retrievalual retrieval. Two variants are tested: (1) a . RI model that approximates a standard VSM; (2) an . RI model intended to capture latent semantic relations among terms with a sliding window procedure. Next cross-lingual extensions of these models are presented and evaluated for cross-lingual document retrieval.
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